Undergraduate Programme and Module Handbook 2024-2025
Module MATH3091: DYNAMICAL SYSTEMS III
Department: Mathematical Sciences
MATH3091:
DYNAMICAL SYSTEMS III
Type |
Open |
Level |
3 |
Credits |
20 |
Availability |
Available in 2024/2025 |
Module Cap |
|
Location |
Durham
|
Prerequisites
- Complex Analysis II (MATH2011) and Analysis in Many
Variables II (MATH2031)
Corequisites
Excluded Combination of Modules
Aims
- To provide an introduction to modern analytical methods for
nonlinear ordinary differential equations in real variables.
Content
- Smooth ODEs: existence and uniqueness of
solutions.
- Autonomous ODEs: orbits, equilibrium and periodic
solutions.
- Linearisation: Hartman-Grobman, stable-manifold theorems,
phase portraits for non-linear systems, stability of
equilibrium.
- Flow, Fixed points: Brouwer's Theorem, periodic solutions,
Poincare-Bendixson and related theorems, orbital
stability.
- Hopf and other local bifurcations from equilibrium,
bifurcations from periodic solutions.
Learning Outcomes
- By the end of the module students will: be able to solve
novel and/or complex problems in Dynamical Systems.
- have a systematic and coherent understanding of theoretical
mathematics in the field of Dynamical Systems.
- have acquired a coherent body of knowledge of these subjects
demonstrated through one or more of the following topic areas: (mostly
second-order) non-linear ODE's applied to the following:
- a smooth finite dimensional dynamical system as a direction
field on a manifold.
- critical points and cycles as attractors, and their
interaction via local bifurcations of co-dimension one.
- Local linearization, Lyapunov functions, the Poincare and
Bendixson theorems of plane topology, and the Hopf bifurcation
theorem.
- In addition students will have specialised mathematical
skills in the following areas which can be used with minimal guidance:
Modelling.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures demonstrate what is required to be learned and the
application of the theory to practical examples.
- Assignments for self-study develop problem-solving skills and
enable students to test and develop their knowledge and
understanding.
- Formatively assessed assignments provide practice in the
application of logic and high level of rigour as well as feedback for
the students and the lecturer on students' progress.
- The end-of-year examination assesses the knowledge acquired
and the ability to solve predictable and unpredictable
problems.
Teaching Methods and Learning Hours
Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
Lectures |
42 |
2 per week for 20 weeks and 2 in term 3 |
1 Hour |
42 |
|
Problems Classes |
8 |
Four in each of terms 1 and 2 |
1 Hour |
8 |
|
Preparation and Reading |
|
|
|
150 |
|
Total |
|
|
|
200 |
|
Summative Assessment
Component: Examination |
Component Weighting: 100% |
Element |
Length / duration |
Element Weighting |
Resit Opportunity |
Written examination |
3 Hours |
100% |
|
Eight assignments to be submitted.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University